AN EFFICIENT WAY OF RETRIEVAL DATA BY TRACKING ATTACKERS
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
A major threat to the internet is that the Distributed Denial- of- Service (DDoS) attacks. There is no efficient way to traceback the attackers because of memoryless feature of routers. In this paper, trace back of the attackers in a wireless networks are efficiently identified and also to protect the data from the attackers using entropy variations. In the existing system, some approaches have been suggested to identify the attackers such as probabilistic Packet Marking (PPM), Deterministic Packet Marking (DPM). These two approaches are not efficient because it requires injecting marks into individual packets in order to trace back the attackers. In PPM, it can only operate in a local range of internet. In DPM, it requires all the internet routers to be updated for packet marking. Scalability is also a big problem in both PPM and DPM. In order to overcome the above drawbacks, a method based on Entropy Variation is proposed which is a measure changes of randomness of flows at a router for a given interval in a large scale attack network. This method is used to identify the attackers efficiently and supports a large scalability.
Authors and Affiliations
G. Sindhu , Mrs. R. Kalaiselvi
Keywords
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